Publisher
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Pingzhao Hu

4 days ago

Postdoc Opportunity in AI for Medical Imaging at the University of Toronto University of Toronto in Canada

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Canada

University

University of Toronto

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Keywords

Computer Science
Biomedical Engineering
Medical Imaging
Artificial Intelligence
Medical Science
Statistics
Machine learning

About this position

Postdoctoral Fellow opportunity in AI for medical imaging at the University of Toronto.

The project, led by Dr. Wei Xu and Pingzhao Hu, focuses on AI algorithms for multicentre medical imaging analysis. This is a research-intensive postdoc for candidates with interests in machine learning, computational health research, and medical image analysis.

Host/announcer: Pingzhao Hu is an Associate Professor and Tier 2 Canada Research Chair in Computational Approaches to Health Research at Western University, with a status-only appointment at the University of Toronto.

Position type: Postdoctoral Fellow (postdoc opening).

Funding: The post indicates a postdoctoral opportunity; detailed funding terms are not included in the post and are referenced as being in the attached job description.

Eligibility/requirements: The post does not list specific degree, publication, or technical prerequisites, but the topic suggests a strong background in AI, machine learning, medical imaging, or related quantitative/computational fields would be relevant.

How to apply: Interested candidates should email [email protected]. The poster asks candidates to review the attached job description for full details.

Links: LinkedIn profile and post URL are included in the text.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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